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Outlier

Remote Coding Expertise for AI Training (Russian)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. We are looking for a Site Reliability Engineer (SRE) to join the IT AI Infrastructure team to deploy, manage, and optimize AI-powered productivity tools and in-house AI solutions that enhance employee efficiency at scale. A successful candidate will have demonstrated success in similar roles within high-growth, security-conscious environments, bringing deep expertise in public cloud infrastructure (AWS/GCP), backend development (Python, Go, or Java), and automation tooling. The right person is passionate about building scalable and reliable AI infrastructure, driving automation, and collaborating across disciplines to integrate AI systems while maintaining strong security and compliance standards. What You’ll Be Doing: <ul> <li> Deployment and Management of AI Tools: Deploy, configure, and manage AI-powered employee productivity tools and in-house AI built solutions </li> <li> Reliability and Performance: Ensure high availability, reliability, and optimal performance of AI platforms and services. Implement monitoring, alerting, and incident response procedures.</li> <li> Scalability and Infrastructure: Design and implement scalable infrastructure to support the growing demands of AI tools and user base. Optimize resource utilization and manage capacity planning.</li> <li> Automation and Tooling: Develop and maintain automation scripts and tools to streamline deployment, monitoring, and maintenance tasks. Contribute to the experimental sandbox environments for testing new AI solutions.</li> <li> Collaboration and Support: Collaborate with cross-functional teams (Machine-Learning, HR, Security, Data Science, Developer Experience) to support the development and integration of AI solutions. Provide technical support and troubleshooting for AI-related issues.</li> <li> Security and Compliance: Adhere to security and privacy policies while deploying and managing AI tools. Ensure compliance with regulatory requirements.</li> <li> Monitoring and Metrics: Implement comprehensive monitoring and metrics to track the performance and health of AI systems. Analyze data to identify areas for improvement and optimization.</li> <li> Incident Response: Participate in incident response and troubleshooting for AI-related outages or performance issues. Develop and maintain incident response plans.</li> <li> Backend Development: Contribute to backend development tasks to support the integration and functionality of AI tools.</li> <li> Public Cloud Management: Deploy and manage AI solutions on public cloud platforms (AWS/GCP), leveraging cloud-native services and best practices.</li> <li> Written and Verbal Communication: Excellent communication skills and experience presenting technical information to non-technical audiences, including senior leadership.</li> </ul> What We Look For In You: <ul> <li>Proven experience as a Site Reliability Engineer (SRE) or similar role.</li> <li>Strong understanding of AI technologies and platforms.</li> <li>Experience with deploying and managing applications in a cloud environment (AWS/GCP).</li> <li>Solid backend development experience with programming languages such as Python, Java, or Go.</li> <li>Strong proficiency in managing and configuring public cloud services (AWS/GCP) for scalability and reliability.</li> <li>Experience with automation tools and scripting (e.g., Ansible, Terraform, Bash, Python).</li> <li>Excellent troubleshooting and problem-solving skills.</li> <li>Strong communication and collaboration skills.</li> <li>Strong security and compliance understanding.</li> <li>Experience working in a highly regulated environment</li> <li>Experience in a fast-paced, high-growth company</li> </ul> ID: P70539 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $186,065—$218,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Senior Site Reliability Engineer, Core AI Infrastructure

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. The Data and AI team within Global Payment Solutions (GPS) at Bank of America is looking for a Data Scientist that is a self-starter who can translate complex concepts and generate actionable insights. Who we are: Using cutting edge Generative AI and Machine Learning techniques, the GPS Data and AI team drives and powers innovation within one of the largest payment businesses in the world. We are the engine that fuels our business partners and clients across the organization globally, building revolutionary end-to-end production level solutions at scale. At our core, we are a team that is a collection of individuals who welcome challenging problems, because that is where the learning begins – and we are at the front line of the long-term transformation of how AI is applied at one of the largest banking institutions in the world. For many of our projects, we begin by hosting “think tank” sessions with business teams to brainstorm and pinpoint opportunities where we can create traceable value through data, AI and Generative AI. Once a problem is sculpted and the solution framework is developed, we get together as a team and build. What we’re building: The data science team (within GPS) is working on multiple projects that are driving/will drive significant impact across the GPS business. Some examples include: • A Generative AI powered search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions that will ultimately unite all of our structured and unstructured data • A comprehensive machine learning model that helps to move foreign currency conversion “up the payment stream” • A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients • Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients Who we’re looking for: If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties. Responsibilities: <ul> <li>Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions</li> <li>Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS</li> <li>Responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"</li> <li>Work closely with other Data Scientists to set technical strategy and prioritize development work</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree in a quantitative field such as: computer science, math, and physics</li> <li>Minimum of 3 to 5 years of hands-on data science experience working in a highly technical environment</li> <li>Extensive experience with Natural Language Processing techniques and Generative AI frameworks such as RAG, text embedding, finetuning, etc.</li> <li>Strong understanding of data structures and algorithms with substantial Python experience</li> <li>Understanding of how to frame a data science problem and a deep understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)</li> <li>Critical thinking skills; able to take feedback and transform it into strategic action</li> <li>Strong verbal, communication, technical design, and documentation skills</li> </ul> Desired Qualifications: <ul> <li>Graduate level degree in a quantitative field such as, computer science, math, and physics or equivalent work experience</li> <li>Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib</li> </ul> Skills: <ul> <li>Agile Practices</li> <li>Application Development</li> <li>DevOps Practices</li> <li>Technical Documentation</li> <li>Written Communications</li> <li>Artificial Intelligence/Machine Learning</li> <li>Business Analytics</li> <li>Data Visualization</li> <li>Presentation Skills</li> <li>Risk Management</li> <li>Adaptability</li> <li>Collaboration</li> <li>Consulting</li> <li>Networking</li> <li>Policies, Procedures, and Guidelines Management</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

Bank of America

Data Scientist

AI Training for Government & Public Sector

<h1>Information Technology - Data Engineer 130-2031</h1> Tulsa, OK, USA Req #837 Wednesday, May 28, 2025 JOB SUMMARY: The Data Engineer will be responsible for expanding, optimizing and monitoring our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. KEY RESPONSIBILITIES: •Create and maintain optimal data pipeline architecture to support our next generation of products and data initiatives. •Assemble large, complex data sets that meet functional business requirements. •Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. •Experience in the development of SSIS, ETL and other standardized data management tools. •Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. •Performs other duties as required. QUALIFICATIONS: •Build processes supporting data transformation, data structures, metadata, dependency and workload management. •Strong project management and organizational skills. •Ability to work independently, handle multiple tasks and projects simultaneously. EDUCATION/EXPERIENCE: •College degree or equivalent experience required. •Project management skills preferred. •Willingness to work in a high-tech, continually evolving, innovative environment. CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> </ul> <a href="#"> Apply Now </a>

CommunityCare

Information Technology - Data Engineer 130-2031

[US] Remote Coding Expertise for AI Training

Bring Your Voice to AI Training - Chinese

<h1>Enterprise Applications - Senior Data Engineer 134-2001</h1> Tulsa, OK, USA Req #824 Tuesday, May 27, 2025 JOB SUMMARY: The Senior Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Sr. Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This position is also expected to provide updates and guidance on data engineering related projects to the Data Governance Committee. KEY RESPONSIBILITIES: <ul> <li> Create and maintain optimal data pipeline architectureto support our next generation of products and data initiatives. </li> <li> Assemble large, complex data sets that meet functional business requirements. </li> <li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.</li> <li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Oracle, SQL and Azure.</li> <li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.</li> <li>Provide guidance to other Data Engineers on the team for the purposes of training</li> <li>Performs other duties as required.</li> </ul> QUALIFICATIONS: <ul> <li>Build processes supporting data transformation, data structures, metadata, dependency and workload management.</li> <li>A successful history of manipulating, processing and extracting value from large disconnected datasets.</li> <li>Strong project management and organizational skills.</li> <li>Ability to work both independently and as a team on multiple projects simultaneously.</li> <li>Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.</li> </ul> EDUCATION/EXPERIENCE: <ul> <li>College degree or equivalent experience required.</li> <li>Minimum six years of related experience developing data pipelines.</li> <li>Minimum six years supporting data warehouses.</li> <li>Demonstrated experience preparing analytical reports and developing data models.</li> <li>Project management skills required.</li> <li>Willingness to work in a high-tech, continually evolving, innovative environment.</li> </ul> CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin <h2 id="otherDetailsHeader">Other details</h2> <ul> <li> Job Family Commercial </li> <li> Pay Type Salary </li> </ul> <a href="#"> Apply Now </a>

Enterprise Applications - Senior Data Engineer 134-2001

Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! The Risk Process Analyst is responsible for supporting the development and execution of capabilities that include models, analytical tools, and tests used for risk management. Key responsibilities include obtaining an understanding of Bank-wide processes, including their risks, underlying data, and process steps, and using that knowledge to build capabilities for the Front Line Units/Control Functions to better manage their risk and operational effectiveness. This role supports other risk analysts and managers to complete a set of task aligned to risk and data management. Job Description Summary Bank of America’s Global Risk Management business is looking for a Risk Process Analyst in the Market Behavior Analytics group within Global Risk Analytics. This group is responsible for developing surveillances and other sophisticated controls over activities in our Global Markets business. These controls detect potentially suspicious activities and patterns of behavior. Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications. Key responsibilities include: <ul> <li>Understanding financial data: schemas, flow, size, data issues, data controls, etc.</li> <li>Building performant big data pipelines that are the backbone of building large scale surveillance systems.</li> <li>Building surveillance models using sophisticated modeling techniques including machine learning and AI.</li> <li>Testing the efficacy of surveillances using advanced modeling techniques.</li> </ul> Required Skills: <ul> <li>Successful candidates will have a Bachelor’s or Master’s degree in computer science or related disciplines.</li> <li>Ability to analyze and find interesting patterns in data with at least one of the following:</li> <li>Implement distributed algorithms on large amounts of data using Big Data, batch and streaming technologies like Hadoop, Spark, Flink, Kafka etc.</li> <li>Build user facing UI applications over large amounts of data using technologies like React, Angular, JavaScript etc.</li> <li>Knowledge and working experience with SQL and NoSQL databases such as MongoDB, HBase, Cassandra, Oracle etc. to process large scale data.</li> <li>Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences</li> <li>Ability to effectively present findings, data, and conclusions to members of the team and management.</li> <li>Ability to operate independently with guidance to deliver sub tasks and the ability to participate in group settings.</li> <li>0-2 years of relevant experience in software engineering in Quantitative Finance or other industries.</li> </ul> Preferred skills: <ul> <li>Knowledge and experience in machine learning / AI models</li> <li>Knowledge and experience with financial data sets</li> <li>Ability to code proficiently in at least one programming language like Python or Java.</li> <li>Proficiency in SQL and in at least one NoSQL data store.</li> </ul> Shift:1st shift (United States of America) Hours Per Week: 40

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